Modern Technology Research Articles

A study on the impact of using modern technology in designing and producing light paintings (images drawn with light) with an innovative artistic form that imitates the paintings of modern art schools

A study on the impact of using modern technology in designing and producing light paintings (images drawn with light) with an innovative artistic form that imitates the paintings of modern art schools

A Blockchain based Secure Authentication Technique for Ensuring User Privacy in Edge Based Smart City Networks

In the past decade, modernization of Information and Communication Technology (ICT), Edge Computing (EC), and Smart Cities has attracted significant academic interest due to its diverse applications in the fields of healthcare, transportation, agriculture, and defense. EC offers numerous advantages, including faster and more efficient services, lower latency, improved data processing, managed bandwidth consumption, scalable, real-time decision-making, security, reduced network congestion, and increased resilience. Despite these benefits, EC networks face persistent challenges, particularly related to security and privacy concerns. Addressing these security challenges requires strong authentication mechanisms, which demand extra resources like processing power and memory, often surpassing the limited capabilities of lightweight edge devices compared to cloud systems. This highlights the critical need for securing edge nodes and ensuring user privacy before real-world deployment and data transfer. User and edge device authentication is vital to prevent external and internal Impersonation and Reflection attacks that threaten system integrity and confidentiality. This paper presents a BlockChain based Authentication technique for Edge Networks (BCAuthEN) that utilizes a Consortium Blockchain (CB) with key agreements for biometric authentication, incorporating a Fuzzy Extractor (FE) to secure user biometrics and passwords. In addition, BCAuthEN offers multifactor and continuous authentication by monitoring user behavior and biometrics. BCAuthEN has been formally verified through Real-Or-Random (RoR) modeling and AVISPA tool, proving its effectiveness in enhancing privacy, and security. The proposed technique ensures robust security by preventing attackers at the potential entry points (edge nodes). In addition, BCAuthEN reduces computation cost, communication overhead and improves throughput. BCAuthEN provides strong resilience by achieving high detection accuracy and reduces false positives against impersonation and reflection attacks. Results have shown that BCAuthEN improves communication costs and reduces overhead by 10% and 7%, respectively, as compared to the recent biometric and key-based user authentication techniques.

Deep Neural Network Closed-loop with Raw Data for Optical Resident Space Object Detection

Optical survey is an important means for observing resident space objects and space situational awareness. With the application of astronomical techniques and reduction method, wide field of view telescopes have made significant contributions in discovering and identifying resident space objects. However, with the development of modern optical and electronic technology, the detection limit of instruments and infrastructure has been greatly extended, leading to an extensive number of raw images and many more sources in these images. Challenges arise when reducing these data in terms of traditional measurement and calibration. Based on the amount of data, it is particularly feasible and reliable to apply machine learning algorithms. Here an end-to-end deep learning framework is developed, it is trained with a priori information on raw detections and the automatic detection task is performed on the new data acquired. The closed-loop is evaluated based on consecutive CCD images obtained with a dedicated space debris survey telescope. It is demonstrated that our framework can achieve high performance compared with the traditional method, and with data fusion, the efficiency of the system can be improved without changing hardware or deploying new devices. The technique deserves a wider application in many fields of observational astronomy.

A Review of the Challenges of Adaptive Filtering Technology in High-fidelity Audio Signal Processing

Abstract. High-fidelity audio signal processing plays an important role in modern audio technology. With the increasing demand for this technology in various audio application scenarios, the optimization of adaptive filters has emerged as a significant challenge in this field. This paper focuses on improving the performance of adaptive filters in high-fidelity audio signal processing which aims to improve the adaptability and efficiency of filters in complex audio environments by improving algorithms. In this study, the adaptive filtering algorithm based on wavelet transform and particle swarm optimization is used to verify the audio data processing by simulation and real data processing. The research data was collected using the standard audio signal database and the actual collected high-fidelity audio samples. The results show that the improved adaptive filter can significantly improve the performance of complex audio environments, improve the clarity and fidelity of audio signals and reduce the computational complexity. It is also suitable for real-time processing scenarios with limited resources. The conclusion shows that this method provides an efficient solution for high-fidelity audio signal processing and has a wide application prospect.

Modern approaches and technologies to prevent anastomotic leakage in the gastrointestinal tract

The healing of gastrointestinal anastomoses is acomplex biological process influenced by numerous factors. Various strategies to support healing and prevent anastomotic leakage (AL) exist, encompassing preoperative, intraoperative and postoperative measures. Preoperative interventions aim to optimize the patient and the tissue environment, particularly the gut microbiome. Intraoperative measures are technical in nature and include the choice of surgical access, the anastomotic technique and anastomotic reinforcement. Various procedures of the intraoperative diagnostics enable identification of such anastomoses requiring additional protective measures. Recently, indocyanine green (ICG) fluoroscopy has become established for evaluation of tissue perfusion, while newer techniques such as spectral microscopy offer promising possibilities. Postoperative diagnostic methods aim to identify potential AL as early as possible to enable initiation of therapeutic steps even before the onset of symptoms. These procedures range from various imaging techniques to innovative bioresorbable, pH-sensitive implants for early AL detection. Due to the multifactorial genesis of AL and the diverse technical possibilities, no single method will become established for prevention of AL. Instead, acombination of measures will ultimately lead to optimal anastomotic healing. The use of artificial intelligence and analyses based on the data promises a better interpretation of the vast amount of data and therefore to be able to provide general recommendations.

Adiabatic Shear Localization in Metallic Materials: Review.

In advanced engineering applications, there has been an increasing demand for the service performance of materials under high-strain-rate conditions where a key phenomenon of adiabatic shear instability is inevitably involved. The presence of adiabatic shear instability is typically associated with large shear strains, high strain rates, and elevated temperatures. Significant plastic deformation that concentrates within a adiabatic shear band (ASB) often results in catastrophic failure, and it is necessary to avoid the occurrence of such a phenomenon in most areas. However, in certain areas, such as high-speed machining and self-sharpening projectile penetration, this phenomenon can be exploited. The thermal softening effect and microstructural softening effect are widely recognized as the foundational theories for the formation of ASB. Thus, elucidating various complex deformation mechanisms under thermomechanical coupling along with changes in temperatures in the shear instability process has become a focal point of research. This review highlights these two important aspects and examines the development of relevant theories and experimental results, identifying key challenges faced in this field of study. Furthermore, advancements in modern experimental characterization and computational technologies, which lead to a deeper understanding of the adiabatic shear instability phenomenon, have also been summarized.

SkinHealthMate App: An AI-Powered Digital Platform for Skin Disease Diagnosis

Accurate diagnosis of skin diseases remains a significant challenge due to the inherent limitations of traditional visual and manual examination methods. These conventional approaches, while essential to dermatological practice, are prone to misdiagnoses and delays in treatment, particularly for conditions like skin cancer. To address these gaps, this paper presents the SkinHealth App, an innovative AI-driven solution that enhances the accuracy and efficiency of skin disease diagnosis. The app integrates a robust ensemble learning model, combining the strengths of EfficientNetB1 and EfficientNetB5 architectures. This ensemble model improves disease classification performance through advanced image processing techniques such as noise reduction and data augmentation. The key contributions of this work include the development of a scalable and secure server-side structure that ensures the safe handling of patient data and efficient processing of diagnostic queries. Experimental results on the HAM10000 dataset demonstrate the model's superior performance, achieving an accuracy of 93%, along with high precision and recall scores, thereby reducing false positives and false negatives. These outcomes clearly establish the app's potential to enhance dermatological diagnosis by providing timely and accurate disease identification. Ultimately, this work bridges the gap between traditional diagnostic methods and modern AI-driven technology, offering a transformative tool for improving patient care in dermatology.

The model of contextual education of digital literacy to students on the example of philological disciplines

Introduction. Today, there is an acute problem of training a new type of specialist, successfully developing in the digital space, striving to improve in the field of modern digital technologies. Digital literacy is moving into the category of an independent type of literacy and is becoming an integral part of the professional competence of a future specialist. The aim of the study is to develop and present a model of contextual education of digital literacy to students on the example of disciplines of philological cycle. Materials and methods of research. The research is based on the provisions of normative documents on education, on the methodological principles of the leading approaches to the role of the environment and activity in personal development (competence-based, systemic, activity-based, personal), on the analysis of scientific judgments about the essence of digital literacy and digital technologies in philology. The theoretical study takes into account the methodology of context-oriented education, within which the formation of the most relevant digital skills of students of the philological profile of training (basic and professional), which are part of digital literacy, takes place. The results of the study. The areas of future professional activity of philological students are highlighted, including work with digital text, programming, communication in a digital environment, production of media content and the field of applied philology (editorial and expert). Skills in these areas form the basis of digital literacy. In search of effective ways to teach digital literacy, the authors turn to a contextual approach. The proposed model of contextual education includes targeted, theoretical and methodological, content-methodical, activity-based and effective components. The content component of this model is defined as a composition of educational activities with integrated quasi-professional and educational-professional digital literacy skills. As a result, the process of transformation of educational activity into professional activity is supposed to be tracked by the advanced level of digital literacy achieved by students. Conclusion. The results of the study will improve the learning process of philology students using information and communication technologies, and achieve a high level of development of their digital literacy. The materials can be useful in assessing the levels of formation of this type of literacy.

PEDAGOGICAL FUNDAMENTALS OF DEVELOPING STUDENTS’ SKILLS IN USING INFORMATION TECHNOLOGIES

In this article, it is clarified that the possibilities of improving the quality and efficiency of the subject-methodological level of training on the use of information technologies in healthy spiritual and moral education are related to the features of organization based on an integrative approach, the didactic capabilities of organizational and structural components of the stages of improvement on the basis of pedagogical, dedicated to raising the quality and efficiency of indicators of mastering observation and imagination-based processes based on modern information technologies.

Enabling modern bioenergy deployment in Nigeria to support industry and local communities

Nigeria intends to rank among the top 20 global economies by 2030 by focusing on industrialisation. However, limiting energy access may slow the rate of industrialisation. Bioenergy integration into Nigeria's energy mix can accelerate the industrialisation agenda due to the co-benefits it offers. We used a disaggregated approach to map agri-residue availability and identify knowledge gaps in agri-residue application to support modern and sustainable bioenergy integration into Nigeria's energy mix. Expert interviews with stakeholders from government departments, small- and large-scale industries, and feedstock producers were used to validate the biomass mapping. The output of the biomass mapping shows that residues from yam, sorghum, wheat, palm, cassava, rice, sugarcane, etc, have knowledge gaps in agri-residue application and they could support the industrialisation agenda of Nigeria. The output of the stakeholder engagement shows that fossil fuels are the main energy source for productive uses in Nigeria. Current waste management practices involve onsite burning and disposal on land. Bioenergy technologies currently deployed in Nigeria are predominantly anaerobic digestion and combustion. Stakeholders have a strong preference for electricity to be the predominant energy vector. However, awareness of modern bioenergy applications and technologies was limited even though Nigeria's Energy Masterplan supports the efficient use of biomass to generate clean heat, electricity and biofuel for industrial, transport and household applications. Based on these findings, we have developed a suite of novel bioenergy case studies to support biomass integration into Nigeria's energy system.

Decoupled Edge Physics Algorithms for Collaborative XR Simulations

ABSTRACTThis work proposes a novel approach to transform any modern game engine pipeline, for optimized performance and enhanced user experiences in extended reality (XR) environments decoupling the physics engine from the game engine pipeline and using a client‐server architecture creates a scalable solution, efficiently serving multiple graphics clients on head‐mounted displays (HMDs) with a single physics engine on edge‐cloud infrastructure. This approach ensures better synchronization in multiplayer scenarios without introducing overhead in single‐player experiences, maintaining session continuity despite changes in user participation. Relocating the Physics Engine to an edge or cloud node reduces strain on local hardware, dedicating more resources to high‐quality rendering and unlocking the full potential of untethered HMDs. We present four algorithms that decouple the physics engine, increasing frame rates and Quality of Experience (QoE) in VR simulations, supporting advanced interactions, numerous physics objects, and multiuser sessions with over 100 concurrent users. Incorporating a Geometric Algebra interpolator reduces inter‐calls between dissected parts, maintaining QoE and easing network stress. Experimental validation, with more than 100 concurrent users, 10,000 physics objects, and softbody simulations, confirms the technical viability of the proposed architecture, showcasing transformative capabilities for more immersive and collaborative XR applications without compromising performance.

Improving health awareness with real-time monitoring through a three-dimensional visualized digital health avatar

IntroductionThe use of modern technologies has become crucial for enhancing people's awareness of health problems. By early health risk detection, there will be better treatment outcomes, the severity of illness will decrease, and costs for treatment will also reduce. Performing routine checkups could help patients feel less anxious about their health in the future. In this study, the innovation of "Digital Health Avatar" enables users to monitor physical changes, raise awareness of medical conditions, and encourage healthy behaviors by visualizing health status as a 3D figure. MethodsHealth data were collected using medical devices like blood test strips, body composition meters, and automatic blood pressure monitors. Advanced algorithms, such as computer vision and natural language processing (NLP), were used to process these collected data and produced a three-dimensional avatar that indicated the user's health status. User satisfaction survey on using the health avatar system was assessed through a survey of 61 participants. ResultsHealth avatar system successfully generate the data and display the measurement results on the health report page of the system. Users can easily check and record their physiological conditions through the avatar. Moreover, users showed satisfaction on the use of the health avatar system and its effectiveness in health check-ups in the survey. ConclusionsThe 'Digital Health Avatar' has the potential to significantly promote individual well-being and health awareness. Its development will be improved by user feedback and continued study, ensuring it becomes an efficient tool for promoting healthier lifestyles.

New technologies in surgery: development, evaluation and training

How do we properly introduce modern technology into practice?

Implementation of innovative technologies in the training process of martial artists

Purpose: to establish leading directions for the implementation of innovative technologies in the practical activities of coaches and athletes in martial arts. Material and methods. A systematic review of scientific publications for the period from 2020 to 2024 related to the application of innovations in the sports field was carried out. The search was conducted in Google Scholar, PubMed, Scopus and Web of Science databases using the following keywords: «innovative technologies», «digital technologies», «sports», «training», «martial arts». The search was conducted by article titles. Full-text articles of a practical or review nature were analyzed. Results: it was established that the use of innovative technologies in the training of martial artists is an important component of the modernization of the training process. It contributes to improving the organization and control of training, increasing their effectiveness, forming training programs using remote technologies. This helps to create flexible training programs and predict their effectiveness. As a result of the bibliographic analysis of relevant studies, it was established that the key directions of the introduction of innovative technologies in the process of training martial artists are: digitization of individual components of training activities of athletes; introduction of technologies based on artificial intelligence; use of virtual and augmented reality technologies; systematic use of mobile applications and personal trackers in the training of athletes; the use of distance learning technologies in the organization of training activities. Along with the established advantages of using innovations in martial arts training, the problems of their implementation in the process of training athletes were identified, which consists in: limited availability of modern technologies to athletes and martial arts coaches; the need to develop programs for the use of technologies by participants in the training process. Conclusions. The use of innovative technologies is an important factor in the modernization of the training process of martial arts athletes. They are aimed at optimizing the training of martial arts athletes, reducing the risk of injuries and increasing the level of individualization of training. Despite the identified potential, the number of studies devoted to the practical implementation of innovations in sports training of martial artists is insufficient. This is due to the complexity of the wide application of technologies and the rapid pace of their modernization, which makes it difficult to assess their long-term effectiveness in various types of martial arts. In general, the findings of this study confirm that innovative technologies are a key driver of qualitative changes in the process of training martial arts athletes. Further research will focus on the development of comprehensive programs using digital technologies at the initial stage of multi-year martial arts training.

Article: Green Regionalism: US Strategies to Ensure Secure and Reliable Supplies of Critical Minerals

Critical Minerals are essential constituents for numerous modern technologies from computers, and modern cars to household appliances. Most critical minerals are also key inputs in technologies that are crucial for clean energy transitions such as batteries, electric vehicles (EV), wind turbines, solar panels etc. Global trends indicate that the race for ensuring a secure and reliable supply of critical minerals is being furthered through industrial policy, domestic regulations as well as international economic law instruments. More recently these three aspects have been characterized by increasing securitization as seen through attempts to friendshore and reshore supply chains and capacities. This paper peruses the recent Critical Material Transparency and Reporting of Advanced Clean Energy (Critical Material TRACE) Bill which focuses on implementing a digital identifier system for advanced energy systems including batteries and battery components. The paper looks at the bill in connection with other initiatives aimed at creating United State (US) led critical mineral value chains. These include industrial policy measures including the Inflation Reduction Act (IRA) as well as international initiatives such as the Mineral Security Partnership (MSP) and the Indo-Pacific Economic Framework (IPEF) inter alia. In our examination, the focus is on analysing the progress made under the US-led MSP and the potential coverage and implication of the Critical Material TRACE Bill. We also examine if such steps by the US further promote green regionalism or are necessary to break the dominance of a few countries (mainly China) in leading the critical minerals supply chain.

Qualitative and Quantitative Handling of Collective Labor Disputes and Strikes With the Help of Artificial Intelligence: an Inter- and Trans-disciplinary Theoretical Approach to Modern Industrial Relations

In today’s context of rapid technological evolution, this article explores from a purely theoretical perspective how artificial intelligence (AI) can be used as a tool for qualitative and quantitative manipulation of collective labor disputes and strikes. Beyond the simple use of modern technologies, this article examines the theoretical and epistemological foundations of integration (IA) in the analysis and prediction of labor conflicts. A theoretical framework is proposed that combines the theory of social conflict and the theory of industrial relations with contemporary approaches in the field of artificial intelligence, thus offering a new way to conceptualize and understand the dynamics of labor relations in the global economy. In conclusion, the paper discusses the epistemological, ethical and social implications of such an interdisciplinary approach.

Investigation of the microstructure, electrical and mechanical properties of Al-CNTs-B4C composite prepared by double-step stir casting for power transmission conductor

Abstract Monolithic aluminium alloy is a modern engineering material that is in high demand owing to its excellent performance and versatility. It has a high electrical conductivity, low density, high strength- to- weight ratio, and high resistance to corrosion. However, it lacks adequate resistance to creep, fatigue, stable microstructure, and strength at elevated temperatures. To overcome these deficiencies, aluminium matrix composites are developed. This work focuses on an experimental investigation of the microstructure, mechanical strength, and electrical conductivity of Al-CNTs-B4C composite consolidated by a double-step stir casting technique. An x-ray diffractometer, transmission electron microscopy, and a field-emission scanning electron microscope fitted with energy dispersive x-ray spectroscopy were used to characterize the start-up powders and the cast samples. A Brinell tester was used to measure the microhardness of the cast samples. A four-point probe meter was used to determine the electrical conductivity. The microstructural results revealed formation of Al4C3 and Al3BC intermetallics, B4C phase and amorphous carbon precipitate. Marginally improved electrical conductivity of 33.33 × 107 S m−1 (65.1% IACS) was obtained with Al-5CNTs-15B4C, together with high microhardness of 725.72 MPa. The microhardness improved by 94.7% over monolithic pure Al. The double-step stir casting enhanced the homogenous dispersion of the reinforcements. The improvements in the mechanical properties and electrical conductivity were attributed to the synergy between B4C and CNTs which induced Orowan looping, load transfer effect, plastic deformation and dislocation pinning in the composite. It is recommended that this composite will perform creditably in power transmission.

МАТЕРИАЛЬНО-ТЕХНИЧЕСКОЕ ОБЕСПЕЧЕНИЕ СЕЛЬСКОГО ХОЗЯЙСТВА: СОСТОЯНИЕ, ПРОБЛЕМЫ, НАПРАВЛЕНИЯ СОВЕРШЕНСТВОВАНИЯ

One of the determining conditions for competitive domestic agricultural production in foreign markets is the technical and technological modernization of the industry. However, despite the significance of the problem, over the past two decades, a stable trend of reduction in the number of employees in agricultural organizations in Russia has developed for all types of agricultural machinery. The highest rates of reduction in agricultural machinery were observed until 2010, and in subsequent periods the downward trend has significantly decreased. At the same time, it is not entirely correct to assess the current situation unambiguously, since the reduction in the fleet of machinery and equipment in agricultural organizations is due to certain objective circumstances and conditions: the area of cultivated land and cultivation of specific crops has decreased; the number of animals has decreased; the technical means used have become more energy-intensive and productive, which is especially important in the context of a shortage of personnel in rural areas. In 2018-2022 the production of domestic agricultural machinery in value terms increased by almost 2.5 times, while in physical terms the changes are insignificant. At the same time, domestic mechanical engineering practically does not produce machinery and equipment for pig farming, poultry farming, milk processing, potato harvesters, beet harvesting equipment, equipment for gardening, vegetable growing. As a result of the outstripping rate of disposal of agricultural machinery and equipment over the rate of their production and replenishment, the energy capacity of the industry is declining. The sanctions imposed on the Russian economy have led to increased risks of non-receipt of critical components and spare parts; disruption of stable logistics and distribution chains that have functioned for a long time, their rise in price; revision of contract terms, failure to meet delivery deadlines. Sanctions against the use of foreign high technologies used in precision farming, genetics, selection, enterprise management, etc. have a negative impact on the development of the agro-industrial complex.

The Effects of Using Modern Technologies in the Neurorehabilitation Process of a Patient after Traumatic Brain Injury – A Case Study

This study presents an analysis of the case of a 44-year-old male patient who experienced a traumatic brain injury, resulting in spastic quadriplegia, meningitis, right-sided craniotomy, ventriculoperitoneal shunt placement, and right hip arthroplasty. Data was collected over a four-year comprehensive therapy process involving treatment periods, during which the patient was under the care of an interdisciplinary team and participated in an individualized rehabilitation program, consisting of 3-4 hours of physical therapy daily for 5-6 days per week. The material included results from functional tests, muscle tone assessments, and balance evaluations. Numerical data from robotic gait therapy devices were also considered. With the consent of the patient and his family, the therapy process was documented via video recordings and photographs, which were then used for a retrospective visual analysis of recorded material at various stages of rehabilitation. For this purpose, the ShapeCare.Fizjo device was used, along with Blaze Pose software, based on a moving person’s skeletal detection model. The results indicated that comprehensive therapy using innovative tools such as C-eye, ReoGo, ReoAmbulator, and LeviActive system improved the patient’s balance and motor skills, as well as facilitated the gait re-education process. The use of modern technologies in neurorehabilitation not only optimizes therapeutic outcomes but also reduces the risk of musculoskeletal strain for the therapist during their professional work.

Unfulfilled potential in digital textbook development: Modern technologies and traditional literacy

Unfulfilled potential in digital textbook development: Modern technologies and traditional literacy